Xiaomi 25053PC47G
Geekbench AI Score
2207
Single Precision Score
2095
Half Precision Score
3459
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 04:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47G |
| Model ID | Xiaomi 25053PC47G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (Q)
|
100% |
2362
439.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3473
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3870
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3702
4.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
8810
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1593
126.7 IPS |
|
|
Object Detection (HP)
|
98% |
1580
125.7 IPS |
|
|
Object Detection (Q)
|
83% |
2382
192.4 IPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
6342
75.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3598
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3256
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6620
60.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9816
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10015
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17992
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4129
153.0 IPS |
|
|
Text Classification (SP)
|
100% |
666
888.5 IPS |
|
|
Text Classification (HP)
|
99% |
636
849.2 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
